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Position: Home > Articles > Application of PPC Model to Grasses of Sloping Field for Soil and Water Conservation Research of Soil and Water Conservation 2007 (2) 299-301

参数投影寻踪模型在坡耕地水土保持牧草优选中的应用

作  者:
张斌
单  位:
塔里木大学农业工程学院
关键词:
RAGA;PPC;坡耕地;水土保持
摘  要:
针对坡耕地水土保持牧草选择问题,采用高维降维技术———投影寻踪分类模型(PPC),利用基于实数编码的加速遗传算法(RAGA)优化其投影方向,将多维数据指标(样本评价指标)转换到低维子空间,根据投影函数值的大小评价出样本的优劣,从而做出决策,最大限度避免了灰色关联法评判中的人为干扰,取得了满意的效果,为坡耕地水土保持牧草选择及其它评判决策问题提供一条新的方法与思路。
译  名:
Application of PPC Model to Grasses of Sloping Field for Soil and Water Conservation
作  者:
ZHANG Bin (College of Agricultural Engineering,Tarim University,Alar,Xinjiang 843300,China)
关键词:
RAGA;PPC;sloping field;soil and water conservation
摘  要:
Through applying PPC model base on RAGA in the grasses of sloping field,the author turns multi-dimension data into low dimension space.So the optimum projection direction can stand for the best influence to the collectivity.Thus,the value of projection function can evaluate each item good or not.The PPC model can avoid jamming of weight matrix in the method of grey relation,and obtain better result.A new method and thought is provided for readers who engaged in grasses of sloping field,and other relation study.

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